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Meta AI is on fire recently. Segment Anything, Animated Drawings, and now DINOv2... all in a single month!

As a grad student in this field, Meta has always had great contributions to the open source machine learning effort, through no small effort of Yann LeCun's internal advocacy. What has changed recently is their PR strategy: OpenA(P)I has basically shown everybody that it doesn't matter if you have the best models if your publicity sucks.

I'd have to disagree. Meta was always great at releasing papers but they never scaled stuff up until like a year or so, such that things start to work in the real world outside of datasets. Glad to see, we're done with the 2% improvement in dataset papers in CVPR, I would now like to see real world performance results.

"Scaling things up" in and of itself is a very recent phenomenon. I would claim, in that sense that nothing before GPT-3 counts.

However, for not-so-scaled models, Meta or rather FAIR, had good contributions with available code that were interoperable with other research in the field. Compare that with, say, Google research/brain/deepmind, which always put out lofty papers that never allowed reproducibility.

They gave us PyTorch. That's more than enough to appreciate their contribution.

Fire and firing - you forgot the layoffs

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